Article started one year ago, obtains far more relevancy these days. Its meaning stays the same however: "Without laws and regulations would be chaos affecting our freedom and human nature."
Privacy and security policies in supply chainVanya Vladeva
Nowadays, Industry 4.0 era and the progress of technologies are moving on the society. Business solutions are aiming to perform cross functional and cross border services. In the years where the e-trade and supply are growing digitally and reaching every spot in the world via technologies, the problem for the security solutions are more than important and contemporary topic
Your organization is at risk! Upgrade your IT security & IT governance now.Cyril Soeri
The ICT Association Suriname in collaboration with the Telecommunication Authority Suriname (TAS) presented a Cybersecurity awareness session for the members of the Chamber of Commerce. TAS presented the national response to IT incidents by explaining the implementation of the Computer Emergency Response Team (CERT).
A practical data privacy and security approach to ffiec, gdpr and ccpaUlf Mattsson
With sensitive data residing everywhere, organizations becoming more mobile, and the breach epidemic growing, the need for advanced data privacy and security solutions has become even more critical. French regulators cited GDPR in fining Google $57 million and the U.K.'s Information Commissioner's Office is seeking a $230 million fine against British Airways and seeking $124 million from Marriott. Facebook is setting aside $3 billion to cover the costs of a privacy investigation launched by US regulators.
This session will take a practical approach to address guidance and standards from the Federal Financial Institutions Examination Council (FFIEC), EU GDPR, California CCPA, NIST Risk Management Framework, COBIT and the ISO 31000 Risk management Principles and Guidelines.
Learn how new data privacy and security techniques can help with compliance and data breaches, on-premises, and in public and private clouds.
Privacy and security policies in supply chainVanya Vladeva
Nowadays, Industry 4.0 era and the progress of technologies are moving on the society. Business solutions are aiming to perform cross functional and cross border services. In the years where the e-trade and supply are growing digitally and reaching every spot in the world via technologies, the problem for the security solutions are more than important and contemporary topic
Your organization is at risk! Upgrade your IT security & IT governance now.Cyril Soeri
The ICT Association Suriname in collaboration with the Telecommunication Authority Suriname (TAS) presented a Cybersecurity awareness session for the members of the Chamber of Commerce. TAS presented the national response to IT incidents by explaining the implementation of the Computer Emergency Response Team (CERT).
A practical data privacy and security approach to ffiec, gdpr and ccpaUlf Mattsson
With sensitive data residing everywhere, organizations becoming more mobile, and the breach epidemic growing, the need for advanced data privacy and security solutions has become even more critical. French regulators cited GDPR in fining Google $57 million and the U.K.'s Information Commissioner's Office is seeking a $230 million fine against British Airways and seeking $124 million from Marriott. Facebook is setting aside $3 billion to cover the costs of a privacy investigation launched by US regulators.
This session will take a practical approach to address guidance and standards from the Federal Financial Institutions Examination Council (FFIEC), EU GDPR, California CCPA, NIST Risk Management Framework, COBIT and the ISO 31000 Risk management Principles and Guidelines.
Learn how new data privacy and security techniques can help with compliance and data breaches, on-premises, and in public and private clouds.
Leading businesses are stretching their boundaries and creating the fabric that connects customers, services and devices through the IoT. Security implications emerge that should be proactively addressed by enterprises looking to operate in the broad digital ecosystem and the “We Economy.”
Presentation by Keita Nishiyama at the OECD Global Conference on Governance Innovation which took place in Paris on 13-14 January 2020. Further information is available at http://www.oecd.org/gov/regulatory-policy/oecd-global-conference-on-governance-innovation.htm.
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Project 3 – Hollywood and IT· Find 10 incidents of Hollywood p.docxstilliegeorgiana
Project 3 – Hollywood and IT
· Find 10 incidents of Hollywood portraying IT security incorrectly
· You can use movies or TV episodes
· Write 2-5 paragraphs for each incident. Use supporting citations for each part.
· What has Hollywood portrayed wrong? Describe the scene and what is being shown. Make sure to state whether it is partially wrong or totally fictitious.
· How would you protect/secure against what they show (answers might include install firewall, load Antivirus etc.)
· Use APA formatting for your sources on everything.
· Make sure to put your name on assignment.
Big Data and Social Media
Colgate Palmolive
Agenda Of socail media use
Buisness intellegence and Social media concenpts
Intellegent organization
Data Anaylysis and Data trustworthiness
Conclusion
Buisness intellegence and Social media concenpts
No-Hassle Documentation
Gain Trusted Followers
Spy on Competition
Learn Customer Demographics
Research and Analyze Events
Advertise More Accurately
Intellegent organization
They consistently use (big) data proactively
They know exactly where they want to go: all-round vision
They continuously discuss business matters: alignment
They talk to each other regarding positive and negative performance
They know their customers through and through
They think and work in an agile way
Data Anaylysis and Data trustworthiness
Data completeness and accuracy
Data credibility
Data consistency
Data processing and algorithms
Data Validity
Conclusion
How Colgate benefit from Big Data and Social Media
Social media increases sales and customers
Big data shows popular trends and popular companies
All around they are both beneficial
Big Data can find trends that can benefit you greatly
Criteria
Title Page:
Name, Contact info, title of Presentation
Slide 1
Adenda : Topic you going to cover in order
Slide 2
Discuss how big data, social media concepts and knowledge to successfully create business intellegence (Support your bullets points with data, analysis, charts)
Slide 3
Describe how big data can be used to build an intelligent organization
Slide 4
Discuss the importance of data source trustworthiness and data analysis
Slide 5
Conclusion
Slide 6
Big Data And Business Intelligence
Business Value With Big Data
For business to survive in a competitive environment, organizational change requires improved governance, sponsorship, processes, and controls, in addition to new skill sets and technology all work in harmony to deliver the benefits of big data. See Fig. 13.2
Data science has taken the business world by storm. Every field of study and area of business has been affected as companies realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de fac to programming language for data science. Its flexibility, power, sophistication, and expressiveness have ma ...
What regulation for Artificial Intelligence?Nozha Boujemaa
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Social, political and technological considerations for national identity mana...Ravinder (Ravi) Singh
Government agencies face the intricate challenge of effectively and securely controlling population flows,
identifying individuals, and managing their access to services, while aligning their strategies with citizen’s
expectations for convenience, security and privacy. Identity Management initiatives, especially after the
increased frequency of terrorist attacks around the world, have become a political imperative of
unprecedented urgency, for an increasing number of governments around the world. The India’s answer
to this challenge is expressed through the proposed UID Scheme.
This paper details all the architecture considerations and its realizations ...
Resilience Engineering as an IT Cultural DisciplineCognizant
To enable always-on and always-available digital business, IT organizations must become more operationally resilient to enhance system and application stability, which fuels service reliability and boosts reputational integrity.
IT Conferences 2024 To Navigate The Moral Landscape Of Artificial Intelligenc...Internet 2Conf
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TrustArc-Webinar-Slides-2022-02-22-Incorporating privacy when leveraging AITrustArc
To improve their services and stay competitive, companies use artificial intelligence to understand their customers' needs and preferences. The data collected to this end requires a certain level of protection. Thus, companies need to get a lot smarter about the way they collect, store, protect, and use information.
Can data privacy truly coexist with data intelligence? In addition to regulating personal data protection, should we control responsible data use?
Stay competitive while maintaining your customer’s trust. Whether you're building AI internally or selecting a vendor who uses it, join the TrustArc, Outschool, and The Cantellus Group privacy experts as they help you define and execute your data and AI strategy.
This webinar reviews:
- The best way to collect, store, protect, and use information
- How to include data and AI in your business processes
- How to balance the right to collect data with the right to privacy
Rebooting IT Infrastructure for the Digital AgeCapgemini
The Digital Transformation Institute has launched its latest research report titled “Faster, Better, Smarter: Rebooting IT Infrastructure for the Digital Age.” The report highlights why organizations need robust and seamless IT infrastructure that keeps pace with evolving market and technology demands. IT infrastructure has always been known as a “keeping the lights on” function but now it has evolved into a core catalyst of Digital Transformation. However, as a function, IT infrastructure is yet to undergo a core transformation. The report discusses why a reboot is critical.
Evolving regulations are changing the way we think about tools and technologyUlf Mattsson
Discover the latest in RegTech and stay up-to-date on compliance tools and best practices.
The move to digital has meant that many organizations have had to rethink legacy systems.
They need to put the customer first, focus on the Customer Experience and Digital Experience Platforms.
They also need to understand the latest in RegTech and solutions for hybrid cloud.
We will discuss Regtech for the financial industry and related technologies for compliance.
We will discuss new International Standards, tools and best practices for financial institutions including PCI v4, FFIEC, NACHA, NIST, GDPR and CCPA.
We will discuss related technologies for Data Security and Privacy, including data de-identification, encryption, tokenization and the new API Economy.
Insights Success is the Best Business Magazine in the world for enterprises, being a platform it focuses distinctively on emerging as well as leading fastest growing companies, their confrontational style of doing business and way of delivering effective and collaborative solutions to strengthen market share. Here, we talks about leader’s viewpoints & ideas, latest products/services, etc. Insights Success magazine reaches out to all the ‘C’ Level professional, VPs, Consultants, VCs, Managers, and HRs of various industries.
Artificial Intelligence (AI) will be a defining challenge for policymakers in our time. Canada has an opportunity to define itself as a leader in responsible AI development and deployment and export a flexible approach that allows for innovation while protecting citizen and user rights.
The top trends changing the landscape of Information ManagementVelrada
The role of information and data in the private sector, and how employees and users interact with that information, is changing rapidly.
With endless buzzwords and hot topics, and a ream of new technologies and upgrades, it can be difficult for organisations to know where to begin or how it translates into actionable insight.
1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
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Leading businesses are stretching their boundaries and creating the fabric that connects customers, services and devices through the IoT. Security implications emerge that should be proactively addressed by enterprises looking to operate in the broad digital ecosystem and the “We Economy.”
Presentation by Keita Nishiyama at the OECD Global Conference on Governance Innovation which took place in Paris on 13-14 January 2020. Further information is available at http://www.oecd.org/gov/regulatory-policy/oecd-global-conference-on-governance-innovation.htm.
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Project 3 – Hollywood and IT
· Find 10 incidents of Hollywood portraying IT security incorrectly
· You can use movies or TV episodes
· Write 2-5 paragraphs for each incident. Use supporting citations for each part.
· What has Hollywood portrayed wrong? Describe the scene and what is being shown. Make sure to state whether it is partially wrong or totally fictitious.
· How would you protect/secure against what they show (answers might include install firewall, load Antivirus etc.)
· Use APA formatting for your sources on everything.
· Make sure to put your name on assignment.
Big Data and Social Media
Colgate Palmolive
Agenda Of socail media use
Buisness intellegence and Social media concenpts
Intellegent organization
Data Anaylysis and Data trustworthiness
Conclusion
Buisness intellegence and Social media concenpts
No-Hassle Documentation
Gain Trusted Followers
Spy on Competition
Learn Customer Demographics
Research and Analyze Events
Advertise More Accurately
Intellegent organization
They consistently use (big) data proactively
They know exactly where they want to go: all-round vision
They continuously discuss business matters: alignment
They talk to each other regarding positive and negative performance
They know their customers through and through
They think and work in an agile way
Data Anaylysis and Data trustworthiness
Data completeness and accuracy
Data credibility
Data consistency
Data processing and algorithms
Data Validity
Conclusion
How Colgate benefit from Big Data and Social Media
Social media increases sales and customers
Big data shows popular trends and popular companies
All around they are both beneficial
Big Data can find trends that can benefit you greatly
Criteria
Title Page:
Name, Contact info, title of Presentation
Slide 1
Adenda : Topic you going to cover in order
Slide 2
Discuss how big data, social media concepts and knowledge to successfully create business intellegence (Support your bullets points with data, analysis, charts)
Slide 3
Describe how big data can be used to build an intelligent organization
Slide 4
Discuss the importance of data source trustworthiness and data analysis
Slide 5
Conclusion
Slide 6
Big Data And Business Intelligence
Business Value With Big Data
For business to survive in a competitive environment, organizational change requires improved governance, sponsorship, processes, and controls, in addition to new skill sets and technology all work in harmony to deliver the benefits of big data. See Fig. 13.2
Data science has taken the business world by storm. Every field of study and area of business has been affected as companies realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de fac to programming language for data science. Its flexibility, power, sophistication, and expressiveness have ma ...
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Government agencies face the intricate challenge of effectively and securely controlling population flows,
identifying individuals, and managing their access to services, while aligning their strategies with citizen’s
expectations for convenience, security and privacy. Identity Management initiatives, especially after the
increased frequency of terrorist attacks around the world, have become a political imperative of
unprecedented urgency, for an increasing number of governments around the world. The India’s answer
to this challenge is expressed through the proposed UID Scheme.
This paper details all the architecture considerations and its realizations ...
Resilience Engineering as an IT Cultural DisciplineCognizant
To enable always-on and always-available digital business, IT organizations must become more operationally resilient to enhance system and application stability, which fuels service reliability and boosts reputational integrity.
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Can data privacy truly coexist with data intelligence? In addition to regulating personal data protection, should we control responsible data use?
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This webinar reviews:
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- How to include data and AI in your business processes
- How to balance the right to collect data with the right to privacy
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### Phishing
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### Man-in-the-Middle (MitM) Attacks
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### Denial-of-Service (DoS) and Distributed Denial-of-Service (DDoS) Attacks
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Written-Blog_Ethic_AI_08Aug23_pub_jce.pdf
1. 1
A Bridge of Trust from ICT Technology to Ethical AI Governance
Jiri Cejka, 8th August 2023
AI evolution as a part of Digital transformation
The Post Covid area opened a vast area of Digital Transformation activities, enabled by i) recognized advantage of remote home
office work, ii) de-globalizations in Supply Change Management and transport restrictions and iii) ongoing technological pro-
gress.
While from the business strategic point-of-view, the Digital Transformation endorses both Business-Optimization and -Transfor-
mation initiatives, the main part of Digital Transformation is accelerated by progress of Artificial Intelligence (AI), combined with
Cloud technology enabling process vast amount of data driving sophisticated Data Analytics.
Impact of AI - lost track of regulation
The AI character is continually evolving, using algorithms and methods, e.g. neural networks. Processing of vast amounts of data
with highly complex analysis and evaluations delivers results, which open new spheres of relations between different business
organizations and with customers.
We always think to be living in the most advanced time however, using AI is in its emerging technology phase1
, due to the speed
of practical adoption in the real world: Whether in Banking, Insurance, Pharma, Travel, Consumer market, the AI will be present-
with all advantages enabling safer (weather, health), simplified (online banking), and comfortable (consumer market, travel, hol-
iday) life.
However this evolution, has also negative sides, generating serious concerns for organizations implementing Digital Transfor-
mation with AI:
1. There are no formally enacted AI laws, rules or regulations which would globally and consistently oversight and control
results of AI e.g., enabling organization to interpret customers’ behaviour, breaching border of privacy to penetrative
promote own products, or services, including predictions.
2. Such situation generates a natural worry, as the customer might feel to be trapped by “dark force knowing all”, which re-
sults in defensive position due to loss of privacy.
2. 2
The personal data law(s) are protecting basic privacy information however, only to certain level, as the level of information being
processed by AI enables results having much bigger impact, based on “hidden AI functionalities”.
Involvement of AI –long way to be establish rules
Rapid adoption of AI by business in Digital Transformation and technology advances causes lawless “Wild-West” situation.
To protect the basic human rights of democracy, freedom, and privacy, regulated usage of AI will have to established.
Many activities were started on regional, e.g. European2
or business finance3
levels proposing to formulate controlling govern-
ance structures for AI and Ethic, e.g. specifying global AI frameworks, publishing recommendations4
or even specifying policies
or high-level guidelines.
However, a standardized global AI governance framework, based on specified and formally agreed enacted Ethic regulation rules
does not exist yet. Worse than ever, it may not come in the short term. Studies estimate that in advanced countries 2-3 years
will be needed to build such widely enacted legislations5
.
Such situation makes a difficult life to Risk Management and Audit in the 2nd
and 3rd
LoD (Line of Defense):
“How to measure Risks where ICT know-how incl. Development, Operation management, Sustainability are core required com-
petencies, moreover with current Audit standards not embedding AI main areas6
?”
Threat of missing Ethic regulations and standard Framework recognized
Advanced organizations have recognized the negative impact and threat of regulatory gap, while grasping the seriousness of
customer’s worry about loss of transparency and fairness, resulting in risk of potential client loss. Insurances as logical leaders,
followed by banks started to implement own Digital Transformation Ethics models and Frameworks for AI Governance proac-
tively: To provide customer necessary trust with transparency and proof of righteous handling of customer’s relevant data, with
consent and meaningfully.
Ethics based Framework structure for AI
The creation of trustworthy AI environment has critical importance as the risk goes beyond reputation and customer satisfac-
tion. Trustworthy AI should be:
• Lawful, complying with all applicable laws and regulations
• Ethical, ensuring adherence to ethical principles and values and
• Robust, both from a technical and social perspective as AI systems can cause unintentional harm
Praxis recognizes four ethical principles:
1. respect for human autonomy
2. prevention of harm
3. fairness and
4. explicability.
which are instantiated by Ethic Governance into:
1. Fairness — ensuring AI systems are Ethical , free from bias, free from prejudice and that protected attributes are not being used.
2. Explain ability — transparency through understanding the algorithmic decision-making process in simple terms
3. Integrity — algorithm integrity and data validity including lineage and appropriateness of how data is used
4. Resilience — technical robustness and compliance of your AI and its agility across platforms and resistance against bad actors.
Two major factors influence the implementation of Ethic Governance framework:
• Pressure with speed to market implementing AI driven solution
• Decisive importance of technology, independent of AI business character role.
ICT challenge - EPAM supportive role
To achieve transparent compliant Digital Transformation with AI, the Ethic Governance Framework must encompass technology-
enabled methods and ICT specifics. This combination can cause a significant burden for the organizations, as the build-up of such
governance framework is domain of 2nd
LoD (Line of Defence) or Business-responsible, often supported by management consul-
tancy companies or Big 4th
- all lacking required technology experience and ICT know-how.
3. 3
Table below shows overview of required Ethic themes and challenges for the specification and implementation of AI Governance
framework:
# Required Ethic AI themes Challenge areas for Ethic Framework specification and implementation
1 Carving out regulatory future with AI in different
business areas: Bank, Insurance, Health, Industry
• Client Data, R&D Data
Support of competitive advantage through innovative AI capabilities, following domestic
and international regulations:
• Foster advancement of AI capabilities
• Public private partnerships
• Leading Technologies, e.g., Financial AI data analytics
2 Establishing Corporate Governance organisation
incl. steering groups, embedding:
• Policies & Ethics, e.g., Public Media
Policy, Accountable User Policy
• Data Governance
• Transparency
• Accountability
Support Build-up of Governance organizational units and transparent accountability by
• Following relevant legislations, embedding cross country regulatory deviations,
business specific
• Specifying RACI model comprising Business-level with IT environment, i.e.,
Infrastructure & organisation units
• Transferring, teaching the impact IT AI technological methods into client’s
organisation, e.g., operation, providing knowledge platform
3 Creation of discussions- and collaboration Forums
for the cross
• countries, regions
• business units
in the corporation
Support buildup of unified inter-communication platform based on knowledge of:
• Heterogenous IT Environment
• AI & Data Analytics content
• Foremost used SDLC methodologies
4 Building AI ecosystem comprising
• partnerships,
• functional collaboration
• capabilities & skills incl. own employees
Supports buildup of Companies Ecosystem comprising
• AI technological progress
• Regulatory legislative evolution, incl. main compliance impacts
sustainable for dynamic development of client’s market
5 Implementing AI in complex legislation &
regulatory environment of international
corporation
Supports build-up of bridges both between
• IT Technology AI and international environment
• Applying and embedding dispersed existing or evolving international legislations
and regulation requirements
Table 1: Required Ethic AI themes and Challenges
EPAM Systems specialists (https://www.epam.com/) have specified a road map with six steps to implement AI Ethic regulatory
framework, based upon expertise of IT experts, Data analysts and AI scientists. The combination of Technology, Data, AI and
Project praxis expertise enables to build IT consistent framework basis, creating a bridge of transparency to Governance-organi-
zational part of Ethic AI regulatory compliance.
Table 2: Six steps Road map to specify and implement AI Ethical framework
4. 4
Summary
The ongoing evolutionary process of Digital Transformation with AI, Algorithms and Data Analytics development, endorsed by
speedy technology evolution, enables immense progress in human history.
However, it also generates high responsibility and risks for loss of privacy, democracy, freedom, and privacy.
It is the responsibility of organizations, regulatory bodies, and whole human society to be aware of the risks to open recklessly
the evil part of Pandora-box.
To build and to implement Ecosystems of Digital trust based on standardised AI Framework will be one of our biggest challenges
in the next future, combined with evoking awareness and self-wisdom of individuals – on the whole planet.
Endnotes
1
“The AI Revolution: The Road to Superintelligence”, Tim Urban, January 22, 2015
https://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html
“The Future of Mobility 2040”, Spark Labs, ETH Zurich, Baloise Group, January 2020
https://www.baloise.com/dam/baloise-com/documents/en/stories/the-future-of-mobility.pdf
“The Managing AI in the Enterprise”, Klaus Haller Security Architect AXA, 17.12.2021
https://www.orellfuessli.ch/shop/home/artikeldetails/A1062196035
2
“Proposal “Artificial Intelligence Act”, European Commission Brussels, 14 June 2023 finalised, the earliest expected adoption: 2025
https://www.europarl.europa.eu/doceo/document/TA-9-2023-0236_EN.pdf
“Ethic Guidelines for trustworthy AI”; European Commission, 8 April 2019
https://ec.europa.eu/futurium/en/ai-alliance-consultation.1.html
The OECD Framework for Classifying AI Systems to assess policy challenges and ensure international standards in AI; OECD, February 17, 2022
https://oecd.ai/en/wonk/classification
“MAS Partners Financial Industry to Create Framework for Responsible Use of AI”; The Monetary Authority of Singapore (MAS) 13 November
2019
3
https://www.mas.gov.sg/news/media-releases/2019/mas-partners-financial-industry-to-create-framework-for-responsible-use-of-ai
4
“Recommendation on the ethics of artificial intelligence”; UNESCO, 24th November 2021
https://unesdoc.unesco.org/ark:/48223/pf0000380455
5
The shape of AI governance to come; page 12; KPMG, 2020/12
https://assets.kpmg/content/dam/kpmg/xx/pdf/2021/01/the-shape-of-ai-governance-to-come.pdf
6
Position paper “Auditing a Digital Insurance World” Artificial Intelligence and Machine Learning Audits within Insurance Firms, ECIIA; June
2023
https://www.eciia.eu/wp-content/uploads/2023/06/Auditing-a-Digital-Insurance-World.pdf